Evaluating an open learner model visualisation prototype tool with User eXperience metrics

被引:0
|
作者
Law, Check-Yee [1 ]
Grundy, John [2 ]
Cain, Andrew [3 ]
von Baggo, Karola [4 ]
Vasa, Rajesh [5 ]
机构
[1] Multimedia Univ, Fac Informat Sci & Technol, Melaka, Malaysia
[2] Monash Univ, Sch Informat Technol, Melbourne, Vic, Australia
[3] Deakin Univ, Sch Informat Technol, Melbourne, Vic, Australia
[4] Swinburne Univ Technol, Fac Sci Engn & Technol, Melbourne, Vic, Australia
[5] Deakin Univ, Appl Artificial Intelligence Inst, Geelong, Vic, Australia
关键词
software development; educational software; prototype tool; outcome-based learning; constructive alignment; open learner model; visualisation; formative usability testing; user experience metrics; Pearson correlation;
D O I
10.1109/ASWEC.2018.00015
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Learning management systems (LMS) are widely used in many educational environments. Although usability is widely acknowledged as a desired quality attribute, it has not been deeply investigated in the context of LMS systems where it has to align with pedagogy. In this research we evaluate extensions to an LMS designed to support the implementation of constructive alignment for technical units using a Task Oriented Portfolio approach. The LMS application was extended with a range of open learner model-based visualisations to help staff and students monitor progress towards achieving unit intended learning outcomes throughout unit delivery. This paper reports on a case study of a formative usability testing of the prototype tool by using User eXperience (UX) metrics. The results unveil the potential usability issues and ways to improve the design of the prototype tool to better cater the actual target user needs.
引用
收藏
页码:51 / 60
页数:10
相关论文
共 22 条
  • [21] User-Centered Design for Designing and Evaluating a Prototype of a Data Collection Tool to Submit Information About Incidents of Violence Against Sex Workers: Multiple Methods Approach
    Ditmore, Melissa H.
    Florez-Arango, Jose Fernando
    JMIR HUMAN FACTORS, 2024, 11
  • [22] Anomaly Detection using a Semi-Supervised Deep Learning Model on Open 5G Core Metrics during User-Equipment Registration
    Gopikrishnan, Akash
    Prakash, Arun
    Hein, Christian
    Moessner, Klauss
    Corici, Marius
    Magedanz, Thomas
    2023 IEEE CONFERENCE ON STANDARDS FOR COMMUNICATIONS AND NETWORKING, CSCN, 2023, : 113 - 119